Occlusion Detection System

1. A method comprising: accessing image data from a client device, the image data comprising a set of image features that depict a display of an object; accessing a repository that includes a set of expected properties associated with the object; detecting an occlusion based on the set of expected properties associated with the object; determining an attribute of the occlusion, the attribute including a semantic feature; and causing display of media content at a position within the image data based on the semantic feature associated with the occlusion.

2. The method of claim 1, wherein the detecting the occlusion based on the set of image features includes: performing a comparison of the set of image features with a set of expected properties associated with the object; and detecting the occlusion based on the comparison.

3. The method of claim 2, wherein the set of expected properties include pixel color values.

4. The method of claim 1, wherein the semantic feature includes one or more of: a roughness value; a metallic value; a specular value; and a base color value.

5. The method of claim 1, wherein the media content comprises augmented-reality content.

6. The method of claim 1, further comprising: determining a location of the client device; and identifying the object based on the location of the client device.

7. The method of claim 6, wherein the determining the location of the client device includes detecting the client device within a geo-fence.

8. A system comprising: a memory; and at least one hardware processor coupled to the memory and comprising instructions that causes the system to perform operations comprising: accessing image data from a client device, the image data comprising a set of image features that depict a display of an object; accessing a repository that includes a set of expected properties associated with the object; detecting an occlusion based on the set of expected properties associated with the object; determining an attribute of the occlusion, the attribute including a semantic feature; and causing display of media content at a position within the image data based on the semantic feature associated with the occlusion.

9. The system of claim 8, wherein the detecting the occlusion based on the set of image features includes: performing a comparison of the set of image features with a set of expected properties associated with the object; and detecting the occlusion based on the comparison.

10. The system of claim 9, wherein the set of expected properties include pixel color values.

11. The system of claim 8, wherein the semantic feature includes one or more of: a roughness value; a metallic value; a specular value; and a base color value.

12. The system of claim 8, wherein the media content comprises augmented-reality content.

13. The system of claim 8, further comprising: determining a location of the client device; and identifying the object based on the location of the client device.

14. The system of claim 13, wherein the determining the location of the client device includes detecting the client device within a geo-fence.

15. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising: accessing image data from a client device, the image data comprising a set of image features that depict a display of an object; accessing a repository that includes a set of expected properties associated with the object; detecting an occlusion based on the set of expected properties associated with the object; determining an attribute of the occlusion, the attribute including a semantic feature; and causing display of media content at a position within the image data based on the semantic feature associated with the occlusion.

16. The non-transitory machine-readable storage medium of claim 15, wherein the detecting the occlusion based on the set of image features includes: performing a comparison of the set of image features with a set of expected properties associated with the object; and detecting the occlusion based on the comparison.

17. The non-transitory machine-readable storage medium of claim 16, wherein the set of expected properties include pixel color values.

18. The non-transitory machine-readable storage medium of claim 15, wherein the semantic feature includes one or more of: a roughness value; a metallic value; a specular value; and a base color value.

19. The non-transitory machine-readable storage medium of claim 15, wherein the media content comprises augmented-reality content.

20. The non-transitory machine-readable storage medium of claim 15, further comprising: determining a location of the client device; and identifying the object based on the location of the client device.